Coloured points are individual samples with the black cross as the mean with the 95% CI
Points are the mean with the bars representing standard error
Plotting physiology
Plotting sum colour intensity metrics
| Carbohydrate | Protein | Symbiont Density | Chlorophyll a | Colour Intensity | |
|---|---|---|---|---|---|
| Temperature | 0.0022 | 0.7612 | 0.1781 | 0.0063 | 0.0405 |
| 280 pCO2 | 0.6774 | 0.7228 | 0.7211 | 0.5132 | 0.2808 |
| 700 pCO2 | 0.2133 | 0.3481 | 0.1362 | 0.0067 | 0.2041 |
| 2800 pCO2 | 0.8782 | 0.2430 | 0.0001 | 0.0000 | 0.0004 |
| Reef Environment | 0.6175 | 0.2905 | 0.2580 | 0.1641 | 0.0011 |
| Temperature x Reef | NA | 0.0660 | 0.0540 | NA | NA |
| Carbohydrate | Protein | Symbiont Density | Chlorophyll a | Colour Intensity | |
|---|---|---|---|---|---|
| Temperature | 0.0006 | 0.0001 | 0.0005 | 0.0002 | 0.0000 |
| 280 pCO2 | 0.4235 | 0.1194 | 0.8763 | 0.0645 | 0.6704 |
| 700 pCO2 | 0.3631 | 0.7584 | 0.1746 | 0.1886 | 0.2143 |
| 2800 pCO2 | 0.6688 | 0.9277 | 0.0973 | 0.1155 | 0.3556 |
| Reef Environment | 0.1361 | 0.5369 | 0.0001 | 0.0053 | 0.0387 |
| Temperature x Reef | NA | NA | 0.0424 | NA | 0.0367 |
| Carbohydrate | Protein | Symbiont Density | Chlorophyll a | Colour Intensity | |
|---|---|---|---|---|---|
| Temperature | 0.0492 | 0.0739 | 0.4838 | 0.0359 | 0.0004 |
| 280 pCO2 | 0.6023 | 0.4606 | 0.5614 | 0.6830 | 0.0523 |
| 700 pCO2 | 0.0196 | 0.1696 | 0.2129 | 0.0058 | 0.0046 |
| 2800 pCO2 | 0.0121 | 0.0099 | 0.5500 | 0.0008 | 0.1385 |
| Reef Environment | 0.1508 | 0.2345 | 0.5783 | 0.8997 | 0.4500 |
| Temperature x 280 pCO2 | NA | NA | NA | 1.1949138702567e-09 | NA |
| Temperature x 700 pCO2 | NA | NA | NA | 2.13430417166503e-05 | NA |
| Temperature x 2800 pCO2 | NA | NA | NA | 0.231211071936069 | NA |
| Carbohydrate | Protein | Symbiont Density | Chlorophyll a | Colour Intensity | |
|---|---|---|---|---|---|
| Temperature | 0.3819 | 0.5284 | 0.3287 | 0.0058 | 0.0000 |
| 280 pCO2 | 0.2115 | 0.4150 | 0.6347 | 0.4250 | 0.8840 |
| 700 pCO2 | 0.6568 | 0.5509 | 0.3582 | 0.2885 | 0.0150 |
| 2800 pCO2 | 0.8366 | 0.7393 | 0.3587 | 0.7004 | 0.0535 |
| Reef Environment | 0.6180 | 0.9055 | 0.3112 | 0.4654 | 0.0586 |
##
## Call:
## lm(formula = pro ~ carb, data = df.90b)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.68459 -0.12391 -0.04553 0.09898 0.60632
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.10883 0.01890 5.757 2.01e-08 ***
## carb 0.28467 0.02132 13.350 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.187 on 320 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.3577, Adjusted R-squared: 0.3557
## F-statistic: 178.2 on 1 and 320 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = chla ~ den, data = df.90b)
##
## Residuals:
## Min 1Q Median 3Q Max
## -134.15 -43.09 -20.60 26.54 479.49
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 59.291 5.221 11.357 < 2e-16 ***
## den 5.959 1.361 4.378 1.63e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 69.35 on 319 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.05667, Adjusted R-squared: 0.05371
## F-statistic: 19.16 on 1 and 319 DF, p-value: 1.628e-05
##
## Call:
## lm(formula = sum_bw5 ~ den, data = df.90b)
##
## Residuals:
## Min 1Q Median 3Q Max
## -360.06 -77.49 28.33 105.07 185.65
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -239.8862 10.3759 -23.120 <2e-16 ***
## den 0.2194 2.5581 0.086 0.932
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 128.7 on 276 degrees of freedom
## (45 observations deleted due to missingness)
## Multiple R-squared: 2.666e-05, Adjusted R-squared: -0.003596
## F-statistic: 0.007358 on 1 and 276 DF, p-value: 0.9317
##
## Call:
## lm(formula = sum_bw5 ~ chla, data = df.90b)
##
## Residuals:
## Min 1Q Median 3Q Max
## -314.37 -70.34 24.01 100.32 189.37
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -291.27978 10.31268 -28.245 < 2e-16 ***
## chla 0.66159 0.09593 6.897 3.58e-11 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 118.9 on 278 degrees of freedom
## (43 observations deleted due to missingness)
## Multiple R-squared: 0.1461, Adjusted R-squared: 0.143
## F-statistic: 47.57 on 1 and 278 DF, p-value: 3.581e-11
##
## Call:
## lm(formula = pro ~ chla, data = df.90b)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.84382 -0.15670 -0.01467 0.13149 0.66354
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.1955664 0.0161970 12.07 <2e-16 ***
## chla 0.0016608 0.0001573 10.56 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2007 on 321 degrees of freedom
## Multiple R-squared: 0.2578, Adjusted R-squared: 0.2555
## F-statistic: 111.5 on 1 and 321 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = carb ~ chla, data = df.90b)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.9398 -0.3286 -0.1149 0.2597 2.2662
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.5493115 0.0367617 14.943 < 2e-16 ***
## chla 0.0025514 0.0003567 7.152 5.84e-12 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.4552 on 320 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.1378, Adjusted R-squared: 0.1351
## F-statistic: 51.16 on 1 and 320 DF, p-value: 5.839e-12
##
## Call:
## lm(formula = pro ~ rate, data = df.90b)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.61621 -0.14542 -0.04558 0.11987 0.68780
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.24088 0.01288 18.70 <2e-16 ***
## rate 0.17596 0.01402 12.55 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1939 on 278 degrees of freedom
## (43 observations deleted due to missingness)
## Multiple R-squared: 0.3618, Adjusted R-squared: 0.3595
## F-statistic: 157.6 on 1 and 278 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = carb ~ rate, data = df.90b)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.07630 -0.28281 -0.05503 0.16522 2.08199
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.59443 0.02932 20.273 < 2e-16 ***
## rate 0.23129 0.03190 7.251 4.15e-12 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.441 on 277 degrees of freedom
## (44 observations deleted due to missingness)
## Multiple R-squared: 0.1595, Adjusted R-squared: 0.1565
## F-statistic: 52.58 on 1 and 277 DF, p-value: 4.145e-12
##
## Call:
## lm(formula = chla ~ rate, data = df.90b)
##
## Residuals:
## Min 1Q Median 3Q Max
## -157.09 -37.94 -11.42 23.36 417.72
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 58.027 4.112 14.11 <2e-16 ***
## rate 49.589 4.476 11.08 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 61.91 on 278 degrees of freedom
## (43 observations deleted due to missingness)
## Multiple R-squared: 0.3063, Adjusted R-squared: 0.3038
## F-statistic: 122.8 on 1 and 278 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = den ~ rate, data = df.90b)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.7465 -1.9950 -0.8537 0.6905 19.5315
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.6506 0.2023 13.103 <2e-16 ***
## rate 0.1482 0.2196 0.675 0.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.025 on 276 degrees of freedom
## (45 observations deleted due to missingness)
## Multiple R-squared: 0.001647, Adjusted R-squared: -0.00197
## F-statistic: 0.4553 on 1 and 276 DF, p-value: 0.5004